Ashritha Reddy

Data Engineer with hands-on experience building and supporting scalable data pipelines on Azure and AWS. Skilled in Databricks, PySpark, SQL, and ETL processes for batch and streaming data. Experienced in data modeling, performance optimization, and delivering reliable datasets for analytics and reporting. Actively seeking data engineering roles where I can contribute to data-driven decision-making.

Data Engineer with 3+ years of experience designing, building, and supporting cloud-based data pipelines across AWS and Azure environments. Hands-on experience with Databricks, PySpark, Spark SQL, and ETL/ELT workflows for batch and near real-time data processing. Strong background in data modeling (star and snowflake schemas), analytics-ready dataset development, and performance optimization.

Worked extensively on healthcare and enterprise data platforms, supporting data governance, validation, and compliance requirements. Experienced in collaborating with analytics, BI, and product teams to deliver reliable datasets for reporting and decision-making.

Master’s degree in Engineering Management with a strong focus on data engineering, analytics, and applied machine learning. Completed hands-on projects involving data pipelines, analytics datasets, and business intelligence reporting. Bachelor’s degree in Electronics and Communication Engineering, providing a solid foundation in problem-solving, systems, and technical fundamentals.